Blog
Insights on ad intelligence, market trends, and going-global strategies
Unity Ads Spy Tool in 2026: How to Research Mobile Game UA Creatives Without a Library
The 2026 guide to researching Unity Ads competitors: why there's no public Unity ad library, what creative evidence you can and can't observe, a game-UA workflow, reading playable and video structure, format-mix analysis, and turning patterns into testable UA briefs.
App Store Competitor Keyword Ads in 2026: How to Research, Structure, and Bid Them
A complete 2026 guide to App Store competitor keyword ads — what they are, why Apple treats competitor terms as their own campaign, how to decide which rival names are worth bidding on, how to structure an exact-match competitor campaign with CPT and rank discipline, how to build a switcher-focused custom product page, the unit economics and stop-loss rules that keep it profitable, the search evidence to capture first, the honest limits of public data, and where AdMapix fits.
Apple Search Ads Spy Tool in 2026: What You Can Actually See, Track, and Reverse-Engineer
A complete 2026 guide to Apple Search Ads competitive research — why no spy tool can pull a rival's private bids or spend, what the live App Store ad slot actually proves, how ASA's structure (Basic vs Advanced, the four campaign types) shapes what you can observe, a repeatable keyword-tracking workflow, how to read bid and rank signals from your own account, how to turn observations into a keyword map and a bid-test plan, the honest limits, and where AdMapix fits.
Twitter Ads Library in 2026: Where X Ads Live Now and What You Can Actually See
A complete 2026 guide to the Twitter Ads Library — why there is no product by that name, how the X Ads Repository works as a DSA transparency tool, exactly what it shows and hides, why access is EU-scoped, how to read funding-entity and reach data, how to research X competitors inside and outside the EU, how it compares to other ad libraries, the honest limits of public ad data, and where a cross-network creative tool like AdMapix fits.
Reddit Ads Library in 2026: The Ads Inspiration Library, Reddit Ad Examples, and Competitor Research
A complete 2026 guide to the Reddit Ads Library — why the closest official surface is Reddit's Ads Inspiration Library rather than a Meta-style transparency database, exactly what it shows and hides, how to find and read Reddit ad examples, how to judge community fit, a full competitor-analysis workflow, how it compares to other ad libraries, the honest limits of public ad data, and where a cross-network creative-intelligence layer like AdMapix fits.
Snapchat Ad Spy Tool in 2026: How to Research Competitor Snap Ads Without a Library
The 2026 guide to researching competitor Snapchat ads: why there's no commercial ad library, the four official Snap surfaces, what public data can and can't prove, reading vertical creative by format, a workflow, and turning Snap Ad patterns into testable briefs.
LinkedIn Ad Library API: What Actually Exists, What Doesn't, and the Workflow That Works in 2026
A developer-grade, honest explainer of the LinkedIn Ad Library API question. There is no public Ad Library API; LinkedIn runs a browse-only transparency website and a separate Advertising API for managing your own accounts. This guide untangles the two, explains what each returns, covers access, the legal and technical reality of scraping, the EU DSA context, and the manual-plus-tooling workflow CI teams actually use.
LinkedIn Ads Competitor Analysis: A Complete B2B Workflow for Reading, Tagging, and Out-Positioning Rival Campaigns
A flagship 2026 guide to LinkedIn ads competitor analysis for B2B teams. How to use the LinkedIn Ad Library, read competitor ads as messaging and offer hypotheses, tag every creative on six dimensions, run offer and format analysis, build recurring competitor reports, and turn it all into briefs and tests — with an honest account of what LinkedIn's public data can and cannot prove, and where AdMapix fits as a creative-evidence layer.
LinkedIn Ads Library in 2026: How to Find Competitor Ads and What It Shows
A complete 2026 guide to the LinkedIn Ads Library — how to access it from a company Page or by advertiser name, exactly which fields it shows and hides, how to read run-window longevity as a soft signal, the EU targeting disclosure, how it compares to Meta and Google ad libraries, the third-party tools that fill its gaps, the honest limits of public ad data, and where a cross-network creative-intelligence layer like AdMapix fits.
Pinterest Ads Library in 2026: The Ads Repository, Its Limits, and How to Research Promoted Pins
A complete 2026 guide to the Pinterest Ads Library — why it is really the DSA-driven Ads Repository, why access is EU-focused, exactly what it shows and hides, how to research promoted Pins when the repository is region-locked, how to read Pinterest creative by Pin format and category, the third-party spy methods that fill the gaps, the honest limits of public ad data, and where a cross-network creative-intelligence layer like AdMapix fits.
Moat Alternative in 2026: Ad Verification vs. Creative Intelligence
A complete 2026 buyer's guide to choosing a Moat alternative — why teams look past Oracle Moat, what Moat actually does (viewability, invalid traffic, brand safety), the critical split between the ad-verification layer and the creative-intelligence layer, a layered comparison across coverage and fit, who should choose which, a practical migration plan, the honest limits of public creative data, and where a creative-research tool like AdMapix fits.
Pathmatics Alternative in 2026: Ad Spend Intelligence vs. Creative Workflow
A complete 2026 buyer's guide to choosing a Pathmatics alternative — why teams look past Pathmatics (now Sensor Tower), what it actually measures, a layered comparison of spend-intelligence suites versus creative-workflow tools across coverage, data type, price, and fit, who should choose which, a practical migration plan, the honest limits of estimated spend, and where a lighter cross-network creative tool like AdMapix fits.